Medical Anatomy Platform

A next-generation interactive medical anatomy platform combining 3D visualization, knowledge graphs, GraphRAG, and AI-ready medical intelligence infrastructure.

Overview

The Medical Anatomy Platform is designed to transform how anatomical knowledge is explored, understood, and taught. It integrates high-fidelity 3D anatomical models, a Neo4j-powered medical knowledge graph, GraphQL APIs, ontology validation, and GraphRAG foundations into a unified system capable of supporting educational, research, and future AI-assisted medical workflows.

The platform is built with scalability in mind, evolving from a hand anatomy MVP into a full-body medical intelligence system capable of handling hundreds of thousands of anatomical structures and millions of semantic relationships.

Core Features

Interactive 3D Anatomy Viewer

• React Three Fiber (R3F) rendering engine
• Real-time structure highlighting and selection
• Layer-based anatomy visualization
• Camera fly-to navigation
• Isolation mode and exploded views
• Cross-sectional anatomy support
• Draco-compressed GLB asset pipeline

Medical Knowledge Graph

• Neo4j-powered anatomical relationships
• FMA (Foundational Model of Anatomy) integration
• SNOMED-CT clinical mappings
• Semantic anatomical relationships
• GraphQL-based traversal and querying

GraphRAG Foundation

• Hybrid graph + vector retrieval
• Evidence-based context assembly
• Ontology-grounded responses
• Citation and provenance tracking
• Anti-hallucination architecture

Medical Data Infrastructure

• Automated BodyParts3D ingestion pipeline
• OBJ → GLB conversion and optimization
• Multi-stage validation workflows
• Ontology consistency checking
• Asset-to-graph synchronization

Enterprise Architecture

• Schema Registry governance
• Search Architecture governance
• Cloud Infrastructure planning
• Security and compliance framework
• Observability and monitoring architecture

Technology Stack

Frontend

• Next.js
• React
• TypeScript
• Tailwind CSS
• React Three Fiber
• Drei
• Zustand

Backend

• Neo4j
• GraphQL
• Apollo
• Redis
• Supabase

Data & AI

• GraphRAG
• Neo4j Vector Indexes
• FMA Ontology
• SNOMED-CT
• BodyParts3D
• Medical Knowledge Graphs

Infrastructure

• Docker
• Terraform (planned)
• Cloud CDN (planned)
• GitHub Actions (planned)

Architecture Pillars

1. Medical Visualization Engine
2. Knowledge Graph Platform
3. GraphRAG Retrieval Layer
4. Ontology Validation Framework
5. Asset Processing Pipeline
6. AI Tutor Foundation
7. Platform Governance & Security

Roadmap

Current

• Interactive Hand Anatomy MVP
• Neo4j Knowledge Graph
• GraphQL API Layer
• Ontology Validation Engine
• GraphRAG Foundation
• BodyParts3D Asset Pipeline

Upcoming

• Full Body Anatomy Expansion
• Advanced GraphRAG Retrieval
• AI Medical Tutor
• Cloud-Native Infrastructure
• Clinical Learning Modules
• Collaborative Learning Workspaces

Vision

To build the world's most comprehensive AI-native anatomy platform where medical knowledge, 3D visualization, knowledge graphs, and intelligent reasoning converge into a unified educational and clinical intelligence ecosystem.

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.